Document Type

Capstone Open Access

Marv

Author

Ammar Waseem, Sheridan College
Omar Zeid, Sheridan College
Paulina Ferko, Sheridan College
Soheila Kamali, Sheridan College

Streaming Media

Faculty Supervisor

Gursharan Singh

Date of Defense

12-2023

Department

Faculty of Applied Science & Technology (FAST)

Program Name

Computer Systems Technology – Software Development and Network Engineering (SDNE)

Description

A virtual companion, seamlessly enhancing productivity and simplifying life with intuitive AI synergy. Harnessing advanced voice recognition, seamless Open AI integration, and API magic, Marv effortlessly connects with your apps. Engage in swift communication through text-to-speech and speech-to-text, where tasks meet efficiency effortlessly. applications to execute your daily/

Comments

Showcase Attendee

Original Publication Citation

Waseem, A., Zeid, O., Ferko, P., Kamali, S. (2023). Marv [Unpublished Capstone]. Computer Systems Technology – Software Development and Network Engineering. Sheridan College.

SOURCE Citation

Waseem, Ammar; Zeid, Omar; Ferko, Paulina; and Kamali, Soheila, "Marv" (2023). 2023. 22.
https://source.sheridancollege.ca/student_work_fast_capstones_sdne_2023/22